Digital Image Processing for Remote SensingRalph Bernstein IEEE Press : sole worldwide distributor (exclusive of the IEEE), Wiley, 1978 - Technology & Engineering - 473 pages |
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Page 7
... point spread function ( PSF ) if the imaging system is linear . Emerging from the potpourri of methods in use for digital image processing are a set of models in which attempts are made for the restoration of images by the effective ...
... point spread function ( PSF ) if the imaging system is linear . Emerging from the potpourri of methods in use for digital image processing are a set of models in which attempts are made for the restoration of images by the effective ...
Page 197
... function h is referred to as the point - spread function . A simplifying assumption is that the point - spread function merely weights the object distribution as a scalar multiplier . In this case the point - spread function takes the ...
... function h is referred to as the point - spread function . A simplifying assumption is that the point - spread function merely weights the object distribution as a scalar multiplier . In this case the point - spread function takes the ...
Page 205
... point - spread function ; correlation properties of both image and noise ; the criterion of optimality chosen for restoration ; the extent and the nature of the available a priori information . A study has been made to compare the four ...
... point - spread function ; correlation properties of both image and noise ; the criterion of optimality chosen for restoration ; the extent and the nature of the available a priori information . A study has been made to compare the four ...
Contents
Introduction | 1 |
Image Restoration 56 | 15 |
SpaceVariant Image Motion Degradation and Restoration A A Sawchuk Proceedings of the IEEE July 1972 | 23 |
Copyright | |
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addition algorithm analysis applications approach approximately array assumed bands changes classification coding coefficients color considered coordinates correction correlation defined degradation density described detection determined developed digital image direction discussed distance distortion Earth effects elements enhancement equation error estimate example experiment extraction field Figure filter Fourier frequency function geometric given gray IEEE image processing imagery input intensity known levels linear mapping means measure method motion noise object obtained operations optical original output pattern recognition performance photographs picture pixel points position possible presented probability problem Proc procedure processing properties quantization recorded reference region registration represent response restoration samples scan scanner scene selection sensor shown shows signal similar space spatial statistical structure techniques threshold tion Trans transform types values visual